Faculty of Psychology and Educational Sciences, University of Geneva.
Department of Psychology, Eastern Illinois University.
Psychol Assess. 2018 Jun;30(6):793-808. doi: 10.1037/pas0000526. Epub 2017 Dec 28.
Interpretation of the French Wechsler Intelligence Scale for Children-Fifth Edition (French WISC-V; Wechsler, 2016a) is based on a 5-factor model including Verbal Comprehension (VC), Visual Spatial (VS), Fluid Reasoning (FR), Working Memory (WM), and Processing Speed (PS). Evidence for the French WISC-V factorial structure was established exclusively through confirmatory factor analyses (CFAs). However, as recommended by Carroll (1995); Reise (2012), and Brown (2015), factorial structure should derive from both exploratory factor analysis (EFA) and CFA. The first goal of this study was to examine the factorial structure of the French WISC-V using EFA. The 15 French WISC-V primary and secondary subtest scaled scores intercorrelation matrix was used and factor extraction criteria suggested from 1 to 4 factors. To disentangle the contribution of first- and second-order factors, the Schmid and Leiman (1957) orthogonalization transformation (SLT) was applied. Overall, no EFA evidence for 5 factors was found. Results indicated that the g factor accounted for about 67% of the common variance and that the contributions of the first-order factors were weak (3.6 to 11.9%). CFA was used to test numerous alternative models. Results indicated that bifactor models produced better fit to these data than higher-order models. Consistent with previous studies, findings suggested dominance of the general intelligence factor and that users should thus emphasize the Full Scale IQ (FSIQ) when interpreting the French WISC-V. (PsycINFO Database Record
法国韦氏儿童智力量表第五版(French WISC-V;Wechsler,2016a)的解释基于包括言语理解(VC)、视觉空间(VS)、流体推理(FR)、工作记忆(WM)和处理速度(PS)在内的 5 因素模型。French WISC-V 的因子结构的证据仅通过验证性因素分析(CFAs)建立。然而,正如 Carroll(1995);Reise(2012)和 Brown(2015)所建议的,因子结构应该来自探索性因素分析(EFA)和 CFA。本研究的第一个目标是使用 EFA 检验 French WISC-V 的因子结构。使用 French WISC-V 的 15 个主要和次要分量标度分数的相关矩阵,并根据从 1 到 4 个因素的因子提取标准进行提取。为了区分一阶和二阶因素的贡献,应用了 Schmid 和 Leiman(1957)的正交化变换(SLT)。总体而言,没有发现 5 因素的 EFA 证据。结果表明,g 因素约占共同方差的 67%,一阶因素的贡献较弱(3.6 至 11.9%)。CFA 用于测试许多替代模型。结果表明,双因素模型比高阶模型更适合这些数据。与先前的研究一致,研究结果表明,一般智力因素占主导地位,因此用户在解释 French WISC-V 时应强调全量表智商(FSIQ)。(PsycINFO 数据库记录)